16f418080f
There are still some places in the frontend (HTML+Javascript) code where we assume we are handling expectations vs actuals, but there are just a few and we should be able to remove them easily in a coming CL. At that point, the frontend will work just as well for displaying any set of image pairs. BUG=skia:1919 NOTRY=True R=rmistry@google.com Author: epoger@google.com Review URL: https://codereview.chromium.org/178253010 git-svn-id: http://skia.googlecode.com/svn/trunk@13598 2bbb7eff-a529-9590-31e7-b0007b416f81
66 lines
2.4 KiB
Python
66 lines
2.4 KiB
Python
#!/usr/bin/python
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"""
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Copyright 2014 Google Inc.
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Use of this source code is governed by a BSD-style license that can be
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found in the LICENSE file.
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ColumnHeaderFactory class (see class docstring for details)
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"""
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# Keys used within dictionary representation of each column header.
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# NOTE: Keep these in sync with static/constants.js
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KEY__HEADER_TEXT = 'headerText'
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KEY__HEADER_URL = 'headerUrl'
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KEY__IS_FILTERABLE = 'isFilterable'
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KEY__IS_SORTABLE = 'isSortable'
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KEY__VALUES_AND_COUNTS = 'valuesAndCounts'
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class ColumnHeaderFactory(object):
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"""Factory which assembles the header for a single column of data."""
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def __init__(self, header_text, header_url=None,
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is_filterable=True, is_sortable=True,
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include_values_and_counts=True):
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"""
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Args:
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header_text: string; text the client should display within column header.
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header_url: string; target URL if user clicks on column header.
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If None, nothing to click on.
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is_filterable: boolean; whether client should allow filtering on this
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column.
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is_sortable: boolean; whether client should allow sorting on this column.
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include_values_and_counts: boolean; whether the set of values found
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within this column, and their counts, should be available for the
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client to display.
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"""
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self._header_text = header_text
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self._header_url = header_url
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self._is_filterable = is_filterable
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self._is_sortable = is_sortable
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self._include_values_and_counts = include_values_and_counts
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def create_as_dict(self, values_and_counts_dict=None):
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"""Creates the header for this column, in dictionary form.
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Creates the header for this column in dictionary form, as needed when
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constructing the JSON representation. Uses the KEY__* constants as keys.
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Args:
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values_and_counts_dict: dictionary mapping each possible column value
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to its count (how many entries in the column have this value), or
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None if this information is not available.
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"""
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asdict = {
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KEY__HEADER_TEXT: self._header_text,
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KEY__IS_FILTERABLE: self._is_filterable,
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KEY__IS_SORTABLE: self._is_sortable,
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}
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if self._header_url:
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asdict[KEY__HEADER_URL] = self._header_url
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if self._include_values_and_counts and values_and_counts_dict:
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asdict[KEY__VALUES_AND_COUNTS] = values_and_counts_dict
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return asdict
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